The paper presents a study on four adaptive sampling methods of a multi-fidelity (MF)
metamodel, based on stochastic radial basis functions (RBF), for global design optimisation …

This paper proposes a time-variant reliability method for an industrial robot rotate vector
(RV) reducer with multiple failure modes using a Kriging model. Firstly, the limit state …

Robust design optimization (RDO) is a valuable technique in the design of engineering
structures as it can provide an optimum design solution that is relatively insensitive to input …

Hydraulic piston pumps are commonly used in aircraft. In order to improve the viability of
aircraft and energy efficiency, intelligent variable pressure pump systems have been used in …

Abstract Model validation methods have been widely used in engineering design to
evaluate the accuracy and reliability of simulation models with uncertain inputs. Most of the …

This paper develops a framework of reliability-based multi-objective optimization (RBMO) in
tunnel alignment. This study considers the two targets, the limit support pressure (LSP) and …

A new multi-objective, multi-disciplinary global optimization strategy is proposed to address
the high-dimensional, computationally expensive black box problem (HEB) in …

This article proposes a new surrogate-based multidisciplinary design optimization algorithm.
The main idea is to replace each disciplinary solver involved in a non-linear multidisciplinary …

Gaussian-Process based optimization methods have become very popular in recent years
for the global optimization of complex systems with high computational costs. These …

Model uncertainty is a significant source of epistemic uncertainty that affects the prediction of
a multidisciplinary system. In order to achieve a reliable design, it is critical to ensure that the …